Simple answer: no. However, before getting into a more detailed answer, allow me to briefly introduce the concept of citation networks, then I will describe why citation networks cannot be considered acyclic anymore.
In the scholarly domain, citation networks is an information network in which each node represents a scientific paper and a link between two nodes represents the citation of one paper from another. Citation networks have two main properties:
- Directed. A citation goes from one paper to another.
- Acyclic. Papers can only refer to earlier papers. Since a new paper can point at existing papers, it prevents the creation of loops within the network (see Fig. 1).
Thanks to these two properties, citation networks can be considered as direct acyclic graphs (DAG). Some other examples of DAG networks are family trees (genealogy), software dependency graph, scheduling tasks and others.
However, there is some evidence showing that citation networks are in practice not acyclic. For instance, papers published on the same issue can cite each other (below there is a simple proof) . In some other cases, a research paper (e.g., archived on arXiv.org) can be edited, allowing authors to update its references pointing to a recent paper .
In conclusion, ideally citation networks are acyclic, practically no. Some approaches, including  already consider this problem and approximate the network by removing acausal citations. However, how the results of such analysis would change if we start considering the network as it stands?
We created a loop into the citation network in which the following two papers cite each other:
- Salatino, Angelo A., Thiviyan Thanapalasingam, Andrea Mannocci, Francesco Osborne, and Enrico Motta. “The computer science ontology: a large-scale taxonomy of research areas.” In International Semantic Web Conference, pp. 187-205. Springer, Cham, 2018.
- Thanapalasingam, Thiviyan, Francesco Osborne, Aliaksandr Birukou, and Enrico Motta. “Ontology-based recommendation of editorial products.” In International Semantic Web Conference, pp. 341-358. Springer, Cham, 2018.
 Trikalinos TA, Moorthy D, Chung M, et al. Comparison of Translational Patterns in Two Nutrient-Disease Associations: Nutritional Research Series, Vol. 5. Rockville (MD): Agency for Healthcare Research and Quality (US); 2011 Oct. (Technical Reviews, No. 17.5.) Appendix B, Details on the Construction of Citation Graphs.Available from: https://www.ncbi.nlm.nih.gov/books/NBK82535/
 Vladimir Batagelj: “Efficient Algorithms for Citation Network Analysis”, 2003, inside the book: V. Batagelj, P. Doreian, A. Ferligoj, N. Kejzar: Understanding Large Temporal Networks and Spatial Networks. Wiley, 2014. ISBN: 978-0-470-71452-2; http://arxiv.org/abs/cs/0309023
 James R. Clough and Tim S. Evans: “Time and Citation Networks”, 2015; http://arxiv.org/abs/1507.01388